Research Scientist
il y a 4 semaines
We are seeking a highly motivated Research Engineer to join our team at INRAE, ABSys lab. The successful candidate will have a strong background in machine learning and statistics, with a willingness to learn principles of agronomy and crop modelling.
Job Description:The objective of this position is to apply machine learning techniques to build a meta-model of the hi-sAFe model, enabling quick evaluations of different agroforestry systems in various pedoclimatic and management conditions.
Key Responsibilities:- Validate the hi-sAFe model in different conditions using existing data on long-term performance of agroforestry systems.
- Build a training dataset covering the desired range of cropping systems, tree configurations, soils, climates, and management practices.
- Choose a suitable machine learning technique and train the meta-model on simulated data.
- Develop an API to make the meta-model available for queries, enabling coupling with existing or new applications developed by partners of the DigitAF project.
- Engineering degree in machine learning, statistics, or applied mathematics, with a willingness to learn principles of agronomy and crop modelling.
- PhD degree in agriculture, plant sciences, modelling, or related sciences, with experience in using and improving crop simulation models.
The successful candidate will work in a dynamic and collaborative environment, with opportunities for professional growth and development.
How to Apply:Interested candidates should submit their application, including a cover letter and CV, to [insert contact information].
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